Single versus Multi-Source Discrimination in Birdcalls using Zero-Frequency Filtering

被引：0

作者：

Sinha, Ragini ^{[1
]}

Vadluri, Vivek ^{[1
]}

Arya, Ashish ^{[1
]}

Rajan, Padmanabhan ^{[1
]}

机构：

[1] Indian Inst Technol, Sch Comp & Elect Engn, Mandi, Himachal Prades, India

来源：

2019 25TH NATIONAL CONFERENCE ON COMMUNICATIONS (NCC) | 2019年

关键词：

Zero-frequency filter (ZFF); Hilbert envelope (HE); Bird call; Support vector machine (SVM); Deep neural network (DNN);

D O I：

10.1109/ncc.2019.8732181

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

In the processing of bioacoustic recordings such as birdcalls, sometimes it is desirable to determine if a recording has one bird calling or has more than one. In this paper, we utilize the well-established zero-frequency filtering method, used for determining significant instants of excitation (also called epochs), for this task. By determining the average number of epochs per second, we are able to reliably discriminate birdcalls made by a single bird from those made by multiple birds. Experimental evaluation on three bioacoustic datasets confirms the reliability of the method. Species identification studies using deep neural network classifiers highlight the utility of the method.

引用

页数：6